doctor

name	doctor
description	Create a personal medical-records agent — bootstraps a profile from your existing health documents, then ingests new files, maintains structured memory, tracks lab trends, prepares doctor visits, and runs an evidence-based nutrition + supplement framework
argument-hint	[destination-path]
disable-model-invocation	false
user-invocable	true
allowed-tools	Read, Write, Edit, Bash, Glob, Grep, AskUserQuestion, Skill, mcp__trinity__list_agents
metadata	{"version":"1.10","created":"2026-05-25T00:00:00.000Z","updated":"2026-07-29T00:00:00.000Z","author":"Ability.ai","changelog":["1.10: template.yaml scaffold now declares `plugins:` (trinity#1704 / ent#411) — marketplaces + installed (agent-dev@abilityai, trinity@abilityai) — so the DEPLOYED agent gets its plugins headlessly on every container boot instead of depending on a human running /plugin install; the local install step stays (that is your own session), the declaration is what makes it portable","1.9: Generated CLAUDE.md Guidelines gain the playbook-call rule — the agent packages procedures as playbooks and exchanges work with other agents only via one-line `/playbook [args]` calls, never prose delegation (fleet convention protocols/playbook-call.md, operator direction 2026-08-16)","1.8: Platform-truth refresh (Trinity dev 88a4e2f7) — report payload cap corrected 256 KB → 5 MiB (object only), display_hint gains `json` and now drives the customer-facing Workspace Reports tab, and list_reports/get_report are taught as read-before-write. template.yaml scaffold gains credentials: + credential_setup: (ent#128/#127; gate T-015). schedules: block documents the ent#89 contract — materialized at creation, max 20, deduped by name, armed only by a literal YAML true, never re-applied on recreate, and gated again by agent autonomy (OFF on new agents); dropped the non-schema id: key and moved timezone off America/New_York to UTC (#1795, and legacy IANA aliases now 500, #1823). .gitignore gains .claude/settings.json + .trinity/* (trinity#2036/#1936)","1.7: Repository-first deployment — the GitHub-repo step is framed as the deploy path (Trinity clones the repo and tracks the branch; skipping means an upload-only deploy with no reproducible source), and the deploy offer now states what /trinity:onboard actually does: create_agent(template: github:owner/repo@branch) when a remote exists — schedules materialized at creation, updates via git push + git_pull — falling back to a local-file deploy that offers promotion onto the repo path. Also replaced the generated agent's dead trinity-cli deploy block (pip install trinity-cli / trinity deploy .) with the MCP-based flow","1.6: Generated CLAUDE.md gains a Request Dispatch section — an SOP table routing incoming requests (user, other agents, operator queue) to skills; task requests with no matching skill are handled if safe and flagged as playbook gaps (told to the user interactively, filed as a playbook-gap-<slug> operator-queue item when headless on Trinity) with a pointer to /agent-dev:create-playbook","1.5: Trinity-connected deploy is the default next action — new Step 16 offers deploying the freshly created agent from its repository via /trinity:onboard when Trinity MCP is connected, gated by explicit AskUserQuestion confirmation; skipped silently when not connected","1.4.1: Deploying-to-Trinity notes set_reminder (trinity#1296) — visit prep can fire exactly N days before a known appointment date instead of waiting for the weekly sweep; guarded, works locally without Trinity","1.4: Generated agent publishes structured summary reports via mcp__trinity__report — CLAUDE.md gains a 'Reporting to Trinity' section (summaries only, never raw records) and the visit-prep skill ends with a guarded doctor.visit_prep report; skipped silently off-Trinity","1.3: Adopt evidence-based /nutrition-plan (three-layer causal-biomarker model) and upgrade /supplement-check to a six-layer decision procedure with companion reference.md. Negative-personalization-first discipline across both.","1.2: Vendor /document-extractor and /file-indexer from skill-library at scaffold time. Reduce /ingest-documents to a thin medical wrapper. Drop the inline /index-files skill.","1.1: Generalize language handling — drop Russian-specific examples, ask for languages as a follow-up","1.0: Initial version — bootstrap from existing files, 7 starting skills, multi-language extraction, onboarding tracker, Trinity dashboard"]}

Create Doctor

ℹ️ First, set expectations: before anything else, print one short line with this skill's version and its most recent change — the top entry of metadata.changelog above — e.g. doctor vX.Y — recent: <summary>. Then proceed.

Create a personal medical-records and health-management agent powered by Claude Code and compatible with Trinity for remote deployment, scheduling, and orchestration.

What you'll get:

• A private repository for one person's health records — PDFs, scans, lab reports, genetic data
• A first-run skill that analyzes existing documents and bootstraps a structured profile (current meds, conditions, lab history)
• Ongoing skills for ingestion, memory upkeep, lab-trend analysis, doctor-visit prep, and supplement/interaction checks
• Multi-language extraction (handles mixed-language document sets)
• Trinity dashboard surfacing key health metrics

Built by Ability.ai — the agent orchestration platform.

This agent is designed for a single individual managing their own records, not for clinics. PHI lives in the user's own repo; nothing is shared by default.

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STEP 1: Determine Destination

If the user passed a path as an argument, use it as $destination and skip ahead to STEP 2.

Otherwise, defer the path choice until after STEP 3 (agent name) — the destination defaults to ~/[agent-name]. For now, ask only about the container:

Use AskUserQuestion:

• Question: "Where should this agent live?"
• Header: "Location"
• Options:
  1. ~/[agent-name] — home directory (recommended)
  2. ./[agent-name] — current directory
  3. Custom path

Store the choice as $container. Do not create the directory yet — the agent name comes next.

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STEP 2: Patient Identity

Use AskUserQuestion:

• Question: "Who is this agent for? Share the patient's name and any short context that will help the agent prioritize correctly (age range, known major conditions, anything it should always keep in mind)."
• Header: "Patient"

Capture as and . The agent's identity in CLAUDE.md is written in third-person about this patient ("Eugene is a 40-something with post-ablation cardiac history..."), and is seeded from this answer.